IDEAS home Printed from https://ideas.repec.org/a/bpj/rmeecf/v7y2012i3n2.html
   My bibliography  Save this article

A Heckit Model of Sales Dynamics in Turkish Art Auctions: 2005-2008

Author

Listed:
  • Seçkin Aylin

    (Istanbul Bilgi University)

  • Atukeren Erdal

    (ETH Zurich, SBS Swiss Business School, BSL Business School Lausanne, University of Applied Sciences Northwestern Switzerland (FHNW))

Abstract

Unsold artworks are excluded from a traditional hedonic price index as no observable price can be attached to them. The question is whether the exclusion of unsold artworks lead to a sample selection bias in the traditionally constructed art price indices. In this paper, we examine the art auction sales performance in Turkey for the period between January 2005 and February 2008 using a unique database which contains 11,212 sales records including unsold items. We employ the two-stage Heckit model. Our empirical model combines demand-side influences with supply-side characteristics as well as the auction microstructure. We find that there is no sample selection bias created by unsold works. This finding also provides an explanation for why the attempts in the literature to identify which works are (not) sold turned out to be largely unsuccessful. On the behavioural side, we confirm the existence of the âafternoon effectâ in both sales rates and in sales prices in Turkish art auctions. There is also some evidence for the âdeath effectâ and âmaster effectâ in both sales rates and sales prices. Finally, we find that the returns in the Turkish art market serve as a hedge against inflation in our sample period.

Suggested Citation

  • Seçkin Aylin & Atukeren Erdal, 2012. "A Heckit Model of Sales Dynamics in Turkish Art Auctions: 2005-2008," Review of Middle East Economics and Finance, De Gruyter, vol. 7(3), pages 1-32, May.
    • Handle: RePEc:bpj:rmeecf:v:7:y:2012:i:3:n:2
    DOI: 10.1515/1475-3693.1304
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/1475-3693.1304
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/1475-3693.1304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. George Deltas & Georgia Kosmopoulou, 2004. "'Catalogue' vs 'Order-of-sale' effects in sequential auctions: theory and evidence from a rare book sale," Economic Journal, Royal Economic Society, vol. 114(492), pages 28-54, January.
    2. Ashenfelter, Orley, 1989. "How Auctions Work for Wine and Art," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 23-36, Summer.
    3. Alan Beggs & Kathryn Graddy, 1997. "Declining Values and the Afternoon Effect: Evidence from Art Auctions," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 544-565, Autumn.
    4. Victor A. Ginsburgh, 1998. "Absentee Bidders and the Declining Price Anomaly in Wine Auctions," Journal of Political Economy, University of Chicago Press, vol. 106(6), pages 1302-1331, December.
    5. Nauro F. Campos & Renata Leite Barbosa, 2009. "Paintings and numbers: an econometric investigation of sales rates, prices, and returns in Latin American art auctions," Oxford Economic Papers, Oxford University Press, vol. 61(1), pages 28-51, January.
    6. BAUWENS, Luc & GINSBURGH, Victor, 2000. "Art experts and auctions are pre-sale estimates unbiased and fully informative?," LIDAM Reprints CORE 1485, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Lusht, Kenneth M, 1994. "Order and Price in a Sequential Auction," The Journal of Real Estate Finance and Economics, Springer, vol. 8(3), pages 259-266, May.
    8. Victor Ginsburgh & Pierre-Michel Menger, 1996. "Economics of the arts: selected essays," ULB Institutional Repository 2013/1655, ULB -- Universite Libre de Bruxelles.
    9. Ginsburgh, Victor & Jeanfils, Philippe, 1995. "Long-term comovements in international markets for paintings," European Economic Review, Elsevier, vol. 39(3-4), pages 538-548, April.
    10. Jianping Mei & Michael Moses, 2002. "Art as an Investment and the Underperformance of Masterpieces," American Economic Review, American Economic Association, vol. 92(5), pages 1656-1668, December.
    11. Olivier Chanel & Louis-André Gérard-Varet & Victor Ginsburgh, 1996. "The relevance of hedonic price indices," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(1), pages 1-24, March.
    12. Marinelli, Nicoletta & Palomba, Giulio, 2011. "A model for pricing Italian Contemporary Art paintings at auction," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 212-224, May.
    13. Lucio Picci & Antonello Scorcu, 2003. "Bidders' and Sellers' Strategies in Sequential Auctions. New Evidence about the Afternoon Effect," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(2), pages 163-178, June.
    14. R. Ekelund & Rand Ressler & John Watson, 2000. "The ``Death-Effect'' in Art Prices: A Demand-Side Exploration," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 24(4), pages 283-300, November.
    15. Clare M D'Souza & David Prentice, 2001. "Auctioneer Strategy and Pricing: Evidence from an Art Auction," Working Papers 2001.05 EDIRC Provider-In, School of Economics, La Trobe University.
    16. Orley Ashenfelter & Kathryn Graddy, 2003. "Auctions and the Price of Art," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 763-787, September.
    17. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    18. McAfee R. Preston & Vincent Daniel, 1993. "The Declining Price Anomaly," Journal of Economic Theory, Elsevier, vol. 60(1), pages 191-212, June.
    19. Chanel, O. & Gerard, L.A. & Ginsburgh, V., 1992. "The Relevence of Hedonic Price Indices the Case of Paintings," G.R.E.Q.A.M. 92a19, Universite Aix-Marseille III.
    20. Erdal Atukeren & Aylin Seçkin, 2006. "Art and the Economy: A First Look at the Market for Paintings in Turkey," Economics Bulletin, AccessEcon, vol. 26(3), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick Georges & Aylin Seçkin, 2013. "Black notes and white noise: a hedonic approach to auction prices of classical music manuscripts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 33-60, February.
    2. Marinelli, Nicoletta & Palomba, Giulio, 2011. "A model for pricing Italian Contemporary Art paintings at auction," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 212-224, May.
    3. Orley Ashenfelter & Kathryn Graddy, 2003. "Auctions and the Price of Art," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 763-787, September.
    4. Orley Ashenfelter & Kathryn Graddy, 2002. "Art Auctions: A Survey of Empirical Studies," Working Papers 121, Princeton University, Department of Economics, Center for Economic Policy Studies..
    5. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    6. Patrick Georges & Aylin Seçkin, 2012. "Auction Prices of Classical Music Manuscripts – A Hedonic Approach," Working Papers 1202E, University of Ottawa, Department of Economics.
    7. McAndrew, Clare & Thompson, Rex, 2007. "The collateral value of fine art," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 589-607, March.
    8. Mezzetti, Claudio, 2008. "Aversion to Price Risk and the Afternoon Effect," The Warwick Economics Research Paper Series (TWERPS) 857, University of Warwick, Department of Economics.
    9. Fedderke, Johannes W. & Chen, Tinghua, 2023. "Generalizing the “Masterpiece Effect” in fine art pricing: Quantile Hedonic regression results for the South African fine art market, 2009–2021," Economic Modelling, Elsevier, vol. 124(C).
    10. Régis Blazy & Marie Blum, 2022. "Horizontal and vertical differentiation in comic art auctions," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1382-1415, July.
    11. Olivier Chanel & Stéphanie Vincent, 2004. "Computing price trends in sequential auctions," Recherches économiques de Louvain, De Boeck Université, vol. 70(4), pages 443-460.
    12. Stuart Kells, 2003. "Explaining The Breadth Of Expert Estimate Ranges In Auctions Of Rare Books," Department of Economics - Working Papers Series 873, The University of Melbourne.
    13. Ventura Charlin & Arturo Cifuentes, 2013. "A new financial metric for the art market," Papers 1309.6929, arXiv.org, revised Jul 2015.
    14. Ginsburgh, V. & van Ours, J.C., 2003. "How to Organize Sequential Auctions : Results of a Natural Experiment by Christie's," Discussion Paper 2003-25, Tilburg University, Center for Economic Research.
    15. Arthur Korteweg & Roman Kräussl & Patrick Verwijmeren, 2016. "Does it Pay to Invest in Art? A Selection-Corrected Returns Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 1007-1038.
    16. Vishnu V. Narayan & Enguerrand Prebet & Adrian Vetta, 2019. "The Declining Price Anomaly is not Universal in Multi-Buyer Sequential Auctions (but almost is)," Papers 1905.00853, arXiv.org.
    17. Sanna Laksa & Daniel Marszalec, 2020. "Morning-Fresh: Declining Prices and the Right-to-Choose in a Faroese Fish Market," CIRJE F-Series CIRJE-F-1141, CIRJE, Faculty of Economics, University of Tokyo.
    18. Robert B. Ekelund & John D. Jackson & Robert D. Tollison, 2013. "Are Art Auction Estimates Biased?," Southern Economic Journal, John Wiley & Sons, vol. 80(2), pages 454-465, October.
    19. Dejan Trifunovic, 2014. "Sequential Auctions And Price Anomalies," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(200), pages 7-42, January –.
    20. Spaenjers, Christophe & Goetzmann, William N. & Mamonova, Elena, 2015. "The economics of aesthetics and record prices for art since 1701," Explorations in Economic History, Elsevier, vol. 57(C), pages 79-94.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:rmeecf:v:7:y:2012:i:3:n:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.